EEG-based machine learning models for the prediction of phenoconversion time and subtype in isolated rapid eye movement sleep behavior disorder.

Journal: Sleep
PMID: 38330231

Abstract

STUDY OBJECTIVES: Isolated rapid eye movement sleep behavior disorder (iRBD) is a prodromal stage of α-synucleinopathies and eventually phenoconverts to overt neurodegenerative diseases including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). Associations of baseline resting-state electroencephalography (EEG) with phenoconversion have been reported. In this study, we aimed to develop machine learning models to predict phenoconversion time and subtype using baseline EEG features in patients with iRBD.

Authors

  • El Jeong
    Interdisciplinary Program in Bioengineering, College of Engineering, Seoul National University, Seoul, South Korea.
  • Yong Woo Shin
    Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Jung-Ick Byun
    Department of Neurology, Kyung Hee University Hospital at Gangdong, Seoul, 05278 Republic of Korea.
  • Jun-Sang Sunwoo
    Department of Neurology, Kangbuk Samsung Hospital, Seoul, South Korea.
  • Monica Roascio
    Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy.
  • Pietro Mattioli
    Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy.
  • Laura Giorgetti
    Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy.
  • Francesco Famà
    Department of Neuroscience (DINOGMI), University of Genoa, Genoa, Italy.
  • Gabriele Arnulfo
    Department of Informatics, Bioengineering, Robotics and System engineering (DIBRIS), University of Genoa, Genoa, Italy.
  • Dario Arnaldi
    Department of Neuroscience, Rehabilitation, Opthalmology, Genetics and Maternal and Child Science (DINOGMI), University of Genoa Largo Paolo Daneo 3, 16132 Genoa, Italy.
  • Han-Joon Kim
    Department of Neurology, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, South Korea.
  • Ki-Young Jung

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